A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment

Chia Chang Hung; Liang-Hsuan Chen

doi:10.1007/978-90-481-3517-2-2

A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment

Chia Chang Hung, Liang-Hsuan Chen

Department of Industrial and Information Management

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.

Original language	English
Title of host publication	Intelligent Automation and Computer Engineering
Pages	17-26
Number of pages	10
DOIs	https://doi.org/10.1007/978-90-481-3517-2-2
Publication status	Published - 2010 Dec 1
Event	International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 - Hong Kong, Hong Kong Duration: 2009 Mar 18 → 2009 Mar 20

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	52 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009
Country/Territory	Hong Kong
City	Hong Kong
Period	09-03-18 → 09-03-20

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-90-481-3517-2-2

Cite this

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title = "A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment",

abstract = "The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.",

author = "Hung, {Chia Chang} and Liang-Hsuan Chen",

year = "2010",

month = dec,

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language = "English",

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Hung, CC & Chen, L-H 2010, A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment. in Intelligent Automation and Computer Engineering. Lecture Notes in Electrical Engineering, vol. 52 LNEE, pp. 17-26, International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009, Hong Kong, Hong Kong, 09-03-18. https://doi.org/10.1007/978-90-481-3517-2-2

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N2 - The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.

AB - The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.

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A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment

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